zjminglead Goto Github PK

-mastering-object-oriented-programming-with-python-v-

Mastering Object Oriented Programming with Python, published by Packt

aapi_code

Columbia Data Science Institute Fall 2020 Capstone Project: Auto Anotation of Pathology Images

alphafold2

To eventually become an unofficial Pytorch implementation / replication of Alphafold2, as details of the architecture get released

ano_pred_cvpr2018

Official implementation of Paper Future Frame Prediction for Anomaly Detection -- A New Baseline, CVPR 2018

asap

Program for the analysis and visualization of whole-slide images in digital pathology

awesome-c-cn

C 资源大全中文版，包括了：构建系统、编译器、数据库、加密、初中高的教程/指南、书籍、库等。

awesome-programming-books-1

📚 经典技术书籍 PDF 文件，持续更新...

awesome_chinese_medical_nlp

中文医学NLP公开资源整理：术语集/语料库/词向量/预训练模型/知识图谱/命名实体识别/QA/信息抽取/模型/论文/etc

basicknowledge

Data struct, algorithm, LeetCode and DesignPattern introduction and implementation in Cpp and C#

bestore

New Begining

bettermud

BetterMud from MUD Game Programming. With syntax fixes!

clustering-analysis-on-mall-customers

Problem Statement: This data set is created only for the learning purpose of the customer segmentation concepts , also known as market basket analysis . I will demonstrate this by using unsupervised ML technique (KMeans Clustering Algorithm) in the simplest form.You are owing a supermarket mall and through membership cards , you have some basic data about your customers like Customer ID, age, gender, annual income and spending score. Problem Statement You own the mall and want to understand the customers like who can be easily converge [Target Customers] so that the sense can be given to marketing team and plan the strategy accordingly.

codeclass

「编程技术学习指南」学习路线+学习资源。从编程小白到架构师，所有你需要掌握的内容都在这里

consumer-behavior-analytics-1

coronavirus-data

covid-19

Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE

covid-19-clinical

covid19-sir

CovsirPhy: Python library for COVID-19 analysis with phase-dependent SIR-derived ODE models.

covidpred

Machine Learning-based prediction of COVID-19 diagnosis based on symptoms

crawlab

Distributed web crawler admin platform for spiders management regardless of languages and frameworks. 分布式爬虫管理平台，支持任何语言和框架

customer-base-analysis

Customer base analysis is concerned with using the observed past purchase behavior of customers to understand their current and likely future purchase patterns. More specifically, as developed in Schmittlein et al. (1987), customer base analysis uses data on the frequency, timing, and dollar value of each customer's past purchases

deep-reinforcement-learning-book

書籍「つくりながら学ぶ！深層強化学習」のサポートリポジトリです

dimensionality-reduction-on-mnist

dimensionality reduction of mnist dataset

django-hexo-matery

尝试用Django3重写的我的Hexo博客，使用的前端主题是 Matery。

dl-kidneyhistologicprimitives

Deep Learning for Kidney Histologic Primitives (U-Net implementation in PyTorch)

docx2md

Convert Microsoft Word Document to Markdown

finrl

A Deep Reinforcement Learning Framework for Automated Trading in Quantitative Finance. NeurIPS 2020. 🔥

flow-forecast

Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

fopnp

Foundations of Python Network Programming (Apress) — scripts and examples

gibsonenv

Gibson Environments: Real-World Perception for Embodied Agents